Chengyue Wang
Orcid: 0009-0009-7707-1505Affiliations:
- University of Macau, Department of Civil and Environmental Engineering, Macau
According to our database1,
Chengyue Wang authored at least 37 papers
between 2023 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
Learning from the Unseen: Generative Data Augmentation for Geometric-Semantic Accident Anticipation.
CoRR, May, 2026
Learning physically grounded traffic accident reconstruction from public accident reports.
CoRR, May, 2026
SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles.
CoRR, April, 2026
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving With LLMs and Chain-of-Thought Prompting.
IEEE Trans. Artif. Intell., February, 2026
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles.
CoRR, December, 2025
Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving.
IEEE Trans. Intell. Transp. Syst., November, 2025
Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs.
CoRR, October, 2025
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving.
CoRR, July, 2025
Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation.
CoRR, July, 2025
Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights.
IEEE Trans. Intell. Transp. Syst., May, 2025
WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2025
CoRR, April, 2025
CoRR, March, 2025
CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.
CoRR, March, 2025
Inf. Fusion, 2025
DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles.
Inf. Fusion, 2025
Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
IEEE Trans. Intell. Veh., April, 2024
Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling.
CoRR, 2024
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
CoRR, 2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
CoRR, 2024
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
CoRR, 2024
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment.
CoRR, 2024
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
2023
GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models.
CoRR, 2023